A Hustler’s Diary (Part 3): AI Startups between AlexNet Moment and ChatGPT Moment

AI Startups

As someone who has experienced two significant waves for AI startups over the last decade, I’ve witnessed firsthand the similarities and differences that define these periods. The recent surge in AI entrepreneurship, ignited by the release of ChatGPT on November 30, 2022, has popularized transformer models, marking what many call the “ChatGPT moment”. This mirrors […]

As someone who has experienced two significant waves for AI startups over the last decade, I’ve witnessed firsthand the similarities and differences that define these periods. The recent surge in AI entrepreneurship, ignited by the release of ChatGPT on November 30, 2022, has popularized transformer models, marking what many call the “ChatGPT moment”. This mirrors the “AlexNet moment” of 2012, which similarly catalyzed the deep learning revolution.

Continue with my last post regarding how I turned to hustler from a typical maker, explaining why in this post.

The AlexNet Era: A Time of Acquisition for AI Startups

A decade ago, large tech corporations lacked comprehensive AI architectures, making the technology landscape vastly different from today’s. Data was king, but even companies drowning in data couldn’t leverage it to their advantage. Between 2012 and 2016, many AI startups found profitability through acquisitions. I was fortunate to catch the tail end of this wave with Phototime, an app that linked iOS users to their local albums for text-based photo searches—a feature now standard in smartphones, but revolutionary at the time.

The ChatGPT Wave: A Shift Towards Marketing for AI Startups

Contrastingly, today’s AI wave sees big tech firms capable of almost anything, pushing startups to find niches they overlook or disdain. With the democratization of technology through open and closed-source models, technical prowess no longer guarantees a head start. Success now hinges more on marketing skills than on technological innovation.

The Role of High Interest Rates

The current high-interest-rate environment has made venture capital more cautious compared to the low-rate backdrop of a decade ago. Where once startups could rely on prestigious backgrounds or elevator pitches for funding, now, visibility and self-reliance are paramount. Proficiency in marketing can attract attention, sell products or services, and enable startups to survive long enough to compete on technology and product quality.

Conclusion: The Importance of Marketing in AI Startups

The transition from a technology-driven to a marketing-focused startup landscape underscores the importance of visibility and engagement in today’s AI sector. As AI continues to evolve, understanding and leveraging marketing will be crucial for startups aiming to stand out and succeed.

Leveraging Expertise for Content Creation

After extensive research and leveraging our team’s experience, we developed a GPT: Marketing Copywriter, for crafting compelling ad copy, accessible here. This tool, enriched with our operational insights, aims to assist startups in boosting traffic and sales. For visually compelling ads, explore our AI-driven solutions at chatdesigner.ai, designed to enhance image quality and attractiveness, thereby improving visitor engagement and conversions.